Average Error: 0.6 → 0.6
Time: 5.0s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
double f(double x, double y, double z, double t) {
        double r336013 = 1.0;
        double r336014 = x;
        double r336015 = y;
        double r336016 = z;
        double r336017 = r336015 - r336016;
        double r336018 = t;
        double r336019 = r336015 - r336018;
        double r336020 = r336017 * r336019;
        double r336021 = r336014 / r336020;
        double r336022 = r336013 - r336021;
        return r336022;
}
↓
double f(double x, double y, double z, double t) {
        double r336023 = 1.0;
        double r336024 = x;
        double r336025 = y;
        double r336026 = z;
        double r336027 = r336025 - r336026;
        double r336028 = t;
        double r336029 = r336025 - r336028;
        double r336030 = r336027 * r336029;
        double r336031 = r336024 / r336030;
        double r336032 = r336023 - r336031;
        return r336032;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.6

    \[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

  2. Final simplification0.6

    \[\leadsto 1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

Reproduce

herbie shell --seed 2020060 
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  :precision binary64
  (- 1 (/ x (* (- y z) (- y t)))))